AIPI
Caution
High confidence
ETF Comparison
A head-to-head comparison of REX AI Covered Call ETF and NEOS Nasdaq-100 High Income ETF covering yield, cost, risk, and income potential.
Updated November 6, 2026
How these figures are calculated: methodology.
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An estimate of distribution reliability, not price or principal safety, a probability, or a guarantee. Score methodology.
Caution
High confidence
Safe
Limited data
Score snapshot as of . Method 1.11.
| Metric | ||
|---|---|---|
| Full name | REX AI Covered Call ETF | NEOS Nasdaq-100 High Income ETF |
| Issuer | REX Shares | NEOS |
| Underlying index | Basket (AI Stocks) | Actively managed (no tracked index recorded) |
| Last Close | $30.16 as of November 6, 2026 | $49.48 as of November 6, 2026 |
| Distribution rate | 37.59% | 15.38% |
| Trailing 12-month yield | 41.73% | 15.42% |
| 30-day SEC yield | -0.22% | -0.05% |
| Distribution Safety Score™ | 56 | 84 |
| Safety-Adjusted Yield | 21.05% | 12.92% |
| Expense ratio | 0.65% | 0.68% |
| AUM | $445M | $14.9B |
| Distribution frequency | Weekly | Monthly |
| Objective | Generates income by writing covered calls on a portfolio of artificial-intelligence focused equities while retaining core exposure to the theme. | Seeks to generate high monthly income in a tax efficient manner while targeting equity appreciation. |
| Asset class | Equity | Equity |
| Inception date | 06/04/2024 | 01/29/2024 |
| Beta | 1.0555 | 1.0553 |
| Last dividend | $0.218 | $0.6343 |
| Ex-dividend date | 11/04/2026 | 10/21/2026 |
100% reinvested · ex-date convention. Period returns use this fixed assumption, independent of chart settings. YTD and 1Y are cumulative period returns; 3Y, 5Y, and 10Y are annualized. The shared Since-start window is annualized only when it covers at least one year.
AIPI has lagged QQQI over the trailing twelve months, posting a -3.46% total return against 2.07%. Measured from Jun 2024 — the start of shared available history — QQQI has compounded at 13.58% a year versus 11.89% for AIPI. Figures are total returns: price change plus every distribution reinvested.
| Symbol | YTD cumulative | 1Y cumulative | Since Jun 2024 | Volatility | Sharpe | Sortino | Max drawdown |
|---|---|---|---|---|---|---|---|
| AIPI | -2.25% | -3.46% | 11.89% | 22.4% | -0.34 | -0.43 | -19.4% |
| QQQI | 2.08% | 2.07% | 13.58% | 18.2% | -0.11 | -0.15 | -12.7% |
Total return with all distributions reinvested on the ex-dividend date (a modeling convention, not the cash-settlement date), split-adjusted, as of November 5, 2026. YTD and 1Y are cumulative period returns; 3Y, 5Y, and 10Y are annualized. The shared Since-start window is annualized only when it covers at least one year. “Since Jun 2024” measures every fund from June 4, 2024 — the start of shared available history — so all funds share one comparison window. Volatility is the annualized standard deviation of daily total returns over the past year. Sharpe and Sortino divide the annualized return in excess of the risk-free rate by, respectively, that volatility and the downside deviation (both over the past year) — higher is better. Max drawdown is the largest peak-to-trough total-return decline over the same window — shallower is better.
| Metric | AIPI | QQQI |
|---|---|---|
| Forward distribution rate | 37.59% | 15.38% |
| Trailing 12-month yield | 41.73% | 15.42% |
| 30-day SEC yield | -0.22% | -0.05% |
| Return of capital | 100.00% | — |
Total return (price change plus reinvested distributions) is the Total returns section above. Return of capital is the share of a recent distribution that was not income. A 30-day SEC yield can sit far from the headline distribution rate; both numbers are the fund's own published fields.
Total return against the stated underlying is on QQQI vs QQQ.
Projections assume the current yield and share price remain constant. Actual results will vary.
Bottom lineChoose AIPI if you want to maximize current income — roughly 37.59%, generated by selling options premium. Choose QQQI if you are comfortable trading away most upside for a large, steady payout. AIPI and QQQI both use option or derivative overlays. Their tradeoff is the underlying exposure, how each option strategy is implemented, and the yield each targets; either overlay can limit upside participation, so neither offers uncapped price exposure.
Read this before the income numbers below: the strategy mechanics on this page shape what those payouts can cost you.
Learn the mechanics: Return of capital, explained · NAV erosion, explained
See how much monthly income a hypothetical investment would generate in each ETF at current yields.
ETFs and AUM reflect what Dividend Vision tracks — the issuer's full lineup may be larger.
The fund lineup emphasizes income generation through option strategies and sector-specific exposure, with holdings spanning technology, commodities, and alternative assets. REX Shares targets investors seeking non-traditional income approaches and concentrated sector bets, positioning itself in a niche segment focused on structured strategies rather than broad market indexing.
See our curated list of related YouTube videos on AIPI.
ETFs and AUM reflect what Dividend Vision tracks — the issuer's full lineup may be larger.
NEOS is known for developing specialized income-focused ETFs that employ strategies like covered calls, hedging, and enhanced yields across various asset classes. NEOS distinguishes itself in the ETF landscape through its emphasis on income generation and downside protection strategies rather than traditional growth approaches.
See our curated list of related YouTube videos on QQQI.
AIPI (REX AI Covered Call ETF) and QQQI (NEOS Nasdaq-100 High Income ETF) are both dividend ETFs, but they take different approaches.
AIPI offers the higher yield at 37.59% vs 15.38% for QQQI. A higher yield means more current income per dollar invested, though it may come with different risk characteristics.
AIPI is cheaper with an expense ratio of 0.65% compared to 0.68%.
They have different reference exposures: AIPI is linked to Basket (AI Stocks) while QQQI is linked to Nasdaq-100, which means their performance drivers differ.
QQQI is the larger fund by assets ($14.9B), but assets alone do not establish trading costs or liquidity.
Positions that appear in every fund's top 10. Issuers disclose only the largest weights, so this captures the overlap of the concentrated end of each book — not the full portfolios.
On a $10,000 investment at current distribution rates, AIPI would pay about $3,759.00 a year (about $72.29 per weekly distribution), while QQQI would pay about $1,538.00 a year (about $128.17 per monthly distribution).
Over 10 years on $10,000, AIPI would cost approximately $650 in fees vs $680 for QQQI (simplified, not compounded). The $30.00 difference may be offset by yield or performance.
AIPI tracks Basket (AI Stocks) with a covered call approach, while QQQI is actively managed around Nasdaq-100 exposure with an active approach. Beta is 1.0555 for AIPI and 1.0553 for QQQI — effectively similar market sensitivity.
AIPI is managed by REX Shares (launched 06/04/2024) with $445M in assets. QQQI is managed by NEOS (launched 01/29/2024) with $14.9B in assets.
AIPI currently distributes 37.59% and QQQI 15.38%, based on fund data updated November 2026. Distribution rate moves with both the payout and the share price, so check the as-of date before relying on either figure.
It depends on your goals. AIPI currently offers the higher distribution yield, which means more income per dollar invested. However, a lower-yield fund may offer better total return or lower volatility. Consider your time horizon and risk tolerance.
AIPI (REX AI Covered Call ETF) tracks Basket (AI Stocks) with a covered call approach, while QQQI (NEOS Nasdaq-100 High Income ETF) is actively managed around Nasdaq-100 exposure with an active approach. They are issued by REX Shares and NEOS respectively.
You can, but expect meaningful overlap: 4 of the disclosed top-10 positions are shared (see the holdings-overlap section above). Holding both may double up on the same underlying names rather than diversify.
By Dividend Vision's Distribution Safety Score — a rules-based 0–100 estimate of how resilient a distribution looks, where higher is safer — QQQI scores 84, AIPI scores 56, so QQQI's payout currently looks the more resilient of the two. No score makes an investment risk-free — treat this as a screening signal, not a guarantee, and the leverage, options-income, or crypto caveats flagged on this page apply regardless of score.
AIPI has an expense ratio of 0.65% while QQQI charges 0.68%. Lower fees mean more of your investment returns stay in your pocket over time.
At current distribution rates, $10,000 in AIPI would pay about $3,759.00 a year (about $72.29 per weekly distribution). $10,000 in QQQI would pay about $1,538.00 a year (about $128.17 per monthly distribution).
AIPI has lagged QQQI over the trailing twelve months, posting a -3.46% total return against 2.07%. Measured from Jun 2024 — the start of shared available history — QQQI has compounded at 13.58% a year versus 11.89% for AIPI. Figures are total returns: price change plus every distribution reinvested. Past performance does not guarantee future results.
Generated November 1, 2026.
Figures quoted in this analysis are from its generation date and may lag the live snapshot table above, which always shows the latest data.
AIPI and QQQI are both covered call ETFs that generate income by selling call options against equity holdings while maintaining upside exposure to those equities. The critical difference is scope: AIPI focuses exclusively on artificial-intelligence stocks and distributes 37.59%, while QQQI holds the entire Nasdaq-100 index and distributes 15.38%. This yield gap reflects AIPI's narrower, more volatile thematic focus versus QQQI's broad, large-cap tech-heavy diversification.
AIPI's 37.59% yield is driven by writing calls on a concentrated basket of AI-focused equities, a strategy that works when the underlying stocks trade sideways or moderately upward. QQQI targets a 15.38% yield through call premiums on 100 of the largest Nasdaq constituents, which includes many non-AI companies like financials and consumer names. Both charge similar expense ratios—0.65% for AIPI and 0.68% for QQQI—and both launched recently, with 01/29/2024 inception dates, making neither a proven long-term income strategy. Their betas are virtually identical (1.0555 and 1.0553, respectively), suggesting similar equity-market sensitivity despite their different underlying holdings.
QQQI: Fits investors seeking broad large-cap tech exposure through a diversified Nasdaq-100 lens while collecting meaningful but more moderate monthly call premiums; matches allocations where thematic concentration feels too narrow and exposure to non-AI mega-cap names (healthcare, consumer, financials) is desirable.
If you want maximum income and believe in AI upside, AIPI's 37.59% yield is compelling but demands tolerance for single-sector volatility and significant NAV risk at that payout rate. Past performance does not guarantee future results.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.
The metrics behind this comparison, explained in the Academy.
These comparisons follow the Dividend Vision methodology.